Comparison of Byte Button between Dify and Alibaba Bailian, which domestic AI Agent platform is better to use in 2026?

Domestic AI Agent platforms will bloom in 2026, with Bytedance, Alibaba Bailian, and Dify being the three representatives that attract the most attention. They both allow you to build AI workflows, connect private knowledge bases, and publish external services without writing code. The positioning looks very similar, but the differences are not small if you look closely. This article makes a horizontal comparison from five perspectives: product positioning, capability differences, billing strategies, adaptation scenarios, and localized deployment, telling you which one to choose for different needs.

1. The three platforms have different root positions.

Although they all belong to "low-code AI Agent platforms", their underlying genes are different.

Byte Button was launched by ByteDance in 2024, and its backend is deeply integrated with the Doubao model and Feishu ecosystem. It is positioned as an "AI Agent building tool that can be used by ordinary users and small teams." The core scenario is to publish AI Bot to traffic portals such as Feishu, Douyin, and WeChat mini programs.

Alibaba Bailian is a large-model application development platform launched by Alibaba Cloud. The backend is the Tongyi Qianwen large-scale model, which is positioned at the enterprise level. It emphasizes integration with Alibaba Cloud's storage, database, and security products, and is suitable for companies already in the Alibaba Cloud ecosystem to develop AI applications.

Dify is an open source AI application development platform developed by a Shanghai startup company. It has become popular in the developer community since 2023. Dify is characterized by being model-independent and can be connected to many models such as OpenAI, Anthropic, Alibaba, Zhipu, DeepSeek, etc., and supports local enterprise deployment. It is positioned as a developer-friendly "open source version of LangChain + Bot platform".

In short, the advantage of Guanzi is traffic distribution, the advantage of Bailian is enterprise cloud ecology, and the advantage of Dify is open source and controllable.

2. Comparison of differences in core capabilities

All three companies provide core capabilities such as AI dialogue, knowledge base, workflow orchestration, and tool invocation, but the depth is different.

In terms of workflow orchestration, Dify's visual editor is the most mature, has a rich variety of nodes, and supports complex branches and loops. In recent versions, Guanzi has also improved its workflow capabilities, but it is still simpler than Dify. Bailian provides workflow, but the development experience is closer to writing configuration files, which is friendly to programmers but not friendly to operations.

In terms of knowledge base capabilities, Bailian relies on Alibaba Cloud's vector database and document parsing services, which is suitable for large-scale enterprise knowledge bases. The button knowledge base is designed for lightweight scenarios. Dify's knowledge base is flexible but you have to take care of the vector library configuration yourself.

In terms of model selection, Dify is the most open, and basically supports all major mainstream models. Bailian is bound to the Tongyi series, but Tongyi itself has strong abilities and performs well in some scenes. The button-bound bean bag series has a relatively closed ecology, but the capabilities of the bean bag have improved significantly in the past year.

In terms of function call, all three companies support basic tools such as HTTP, database, and email. In terms of ecological richness, Dify contributes the most plug-ins from the open source community.

3. Detailed analysis of billing strategy

Cost structure is key to selection.

ByteKouzi is currently basically free for individual users and small teams. Model calls consume Doubao tokens, which are covered by the KouZi platform. Whether it will be completely free for large-scale commercial use depends on the latest official policies. Developers who publish Bots on Feishu, Douyin and other channels do not charge platform fees, and the traffic value is taken over by Byte Ecosystem.

Alibaba Bailian is billed based on the number of API calls + the usage of large model tokens. The free trial amount is also relatively generous, but the monthly cost for medium-scale production applications can easily range from hundreds to thousands of yuan, depending on the intensity of usage.

Dify provides a cloud SaaS version, with free plan + paid subscription tiers. The specific price is subject to the official public page. Dify's real cost advantage lies in localized deployment. You use your own server to run Docker, and you only pay server and model API fees, not platform fees.

For individual creators and small studios, buttons are the most cost-effective. For medium and large enterprises that are already on Alibaba Cloud, Bailian integration is the most smooth. For enterprises that pursue data autonomy and have high compliance requirements, Dify local deployment is most suitable.

4. Adaptation scenario 1, content creation and publishing

If you do content creation + multi-platform distribution, Button has obvious advantages.

Button's Bot can be published to multiple portals such as Feishu Robot, Douyin Mini Program, Doubao application, and web plug-ins with one click. For content creators on Xiaohongshu and Douyin, you can build a "automatically generate popular titles" Bot and embed it in the Douyin workbench.

Bailian can also make content generation Bots, but channel integration is not as convenient as Guanzi. It mainly relies on its own API to integrate into external applications.

Dify is suitable for back-end services for content generation. Building your own website and connecting to the Dify API has the highest degree of freedom, but you must understand the technology.

If you are a content creator and want to see traffic results quickly, Qianzi is your first choice.

5. Adaptation scenario 2, enterprise knowledge assistant

If you are working as an internal knowledge assistant (customer service, HR Q&A, technical document retrieval), all three companies can do it, but the paths are different.

Bailian is most suitable for medium and large enterprises because it integrates Alibaba Cloud's document parsing (supporting PDF, Word, scanned OCR), vector database (Lingjun vector library or OpenSearch), enterprise SSO login, and audit logs. A one-stop retrieval enhancement generation (RAG) system was built, and Alibaba Cloud was responsible for the operation and maintenance.

Dify is suitable for small and medium-sized enterprises or teams with high requirements for data autonomy. After localized deployment, all data will not leave the company network, and the model can be selected from Claude, GPT, or connected to a local large model. The open source version is completely free, and the commercial support version is pay-as-you-go.

Kouzi's knowledge base function is relatively lightweight and suitable for individual creators or small teams with hundreds of documents. Large-scale enterprise knowledge bases are not its strong point.

6. Adaptation scenario 3, automated workflow

Dify is the strongest among the three companies when it comes to embedding AI into business processes for automation (such as processing customer emails, automatically summarizing meeting minutes, and batch generating marketing copy).

Dify's workflow orchestration can perform conditional branching, looping, error handling, manual review, and external tool invocation, which is close to the capabilities of enterprise-level BPM (Business Process Management) products. With Dify's API service, the entire workflow can be triggered from external systems for unattended automation.

Button simplifies many nodes in the workflow and is suitable for simple processes such as linear processes such as "user asks questions → AI answers → adjust functions when necessary". Complex multi-step scenarios that require rollback and retry are difficult.

Bailian's workflow is more developer-oriented, and the visual experience is weaker than Dify. However, within the Alibaba Cloud ecosystem, cloud functions, message queues, and object storage can be directly adjusted, which is an advantage that Dify does not have.

7. Adaptation scenario 4. API integration development

If you are a developer, you need to embed AI capabilities into your own products and care about the quality of APIs, SDKs, and documentation.

Dify scores highest on API friendliness. Dify's API documentation is clear, and all visually built applications automatically expose the REST API to the outside world. After local deployment, there is no obstacle to accessing your own system. Multi-language SDK covers Python, Node.js, Java and more.

Bailian provides a complete API, based on Alibaba Cloud OpenAPI system, with complete Java/Python/JavaScript SDK, suitable for developers who are familiar with Alibaba Cloud.

There is also a Kouzi API, but it is positioned towards small program integration and chat access, and its support for enterprise-level API orchestration is weaker than the other two.

8. Comparison of localized deployment

Whether data should leave the local area is a dilemma for many companies.

Dify is completely open source. Docker Compose enables a set of services to run in your own computer room or private cloud, and the data does not leave the local area during the entire process. Models can choose cloud APIs such as Anthropic/OpenAI, or you can connect to local Ollama to run open source models, which is compliance-friendly and friendly.

Bailian is hosted by Alibaba Cloud, and the data is stored in Alibaba Cloud. For compliance, it relies on Alibaba Cloud's MLA, ISO and other certifications, making it suitable for enterprises that accept cloud hosting. Alibaba Cloud has a proprietary cloud solution that can be deployed privately, but the cost is not low.

Kouzi currently mainly uses cloud SaaS, and its local deployment capabilities are limited. Private deployment is mainly for negotiation with large customers, and ordinary users can basically only use the cloud version.

If it is a strict compliance scenario involving confidentiality, finance, medical care, etc., the local version of Dify is almost a must.

9. Ecology and long-term sustainability

Choosing a platform also depends on the resources and continued investment of the company behind it.

ByteDouble is backed by ByteDance, has abundant traffic and model resources, and has a low probability of running away. However, the product direction follows Byte's strategy, and there is a risk for independent creators to passively follow.

Alibaba Bailian is the official product of Alibaba Cloud, and its long-term sustainability is the most guaranteed. However, the pace of product iteration during Alibaba Cloud's transformation period was slow, and sometimes new features lagged behind those of leading competitors.

Dify is a startup company, but it has a strong open source community, and its GitHub attention is ahead of similar domestic products. You can fork and maintain the open source version yourself, and even if the company's direction changes, your deployed system will not be affected. This is the "long-term controllability" that enterprises attach great importance to.

FAQ

What is the relationship between buttons and Feishu robot?

Button is an independent AI Agent platform owned by ByteDance, and Feishu Robot is a conversation tool in the Feishu ecosystem. The relationship between the two is: the Bot built by Button can be published as a Feishu robot with one click, that is, called @ in the Feishu group, which is one of the most commonly used publishing channels. But the button itself not only serves Feishu, it also supports publishing to multiple endpoints such as Douyin, Doubao, web pages, and HTTP API. Therefore, the button ability is greater than that of Feishu Robot, and you can think of it as a "byte version of GPTs Store + Make".

Are the hardware requirements for Dify private deployment high?

Not too high. The Dify main program + Postgres database + Redis cache + vector database (default Weaviate) run as a complete set, and a Linux server with 16GB of memory is enough. If the vector library is switched to an external PostgreSQL pgvector or Qdrant, the deployment is more lightweight. If you want to run large open source models locally at the same time, GPU memory will be the major factor. See the hardware requirements of Ollama mentioned above. Small and medium-sized enterprises can run a complete AI workflow with an ordinary cloud server and an inference machine with a GPU.

Can Bailian accept non-Alibaba models?

Yes, but the cost will not be favorable. Bailian supports calling OpenAI, Anthropic and other models, but it uses OpenAI transfer or obtains external API credentials by itself. In this case, you lose the model cost advantage of Bailian, and it is more like using Bailian as a RAG orchestration platform. If your main requirement is to use other models, Dify is a more natural choice. The real value of Bailian lies in its deep integration with Tongyi Qianwen + Alibaba Cloud ecosystem.

Do all three platforms support the MCP protocol?

As of the writing of this article, MCP (Model Context Protocol) is the protocol mainly promoted by Anthropic, and the ecosystem is still evolving. The latest version of Dify has begun to integrate MCP support, and MCP Server can be called as a tool. For official support for MCP from Guanzi and Bailian, please check the latest documentation, because this area is updated frequently. If MCP is your core appeal, Dify is currently the most actively supported. The other two may be slower to follow due to product strategy reasons.

Data compliance requirements are high, which one should I choose?

Consider from lowest to highest sensitivity. For low-sensitivity applications (such as internal office automation), any of the three companies will do, but choose the ecology you are most familiar with. If it is medium sensitive (involving user personal information but has been desensitized), customers using Alibaba Cloud can choose Bailian to ensure compliance; others choose Dify. For highly sensitive applications (confidentials, financial accounts, medical records), it is recommended to deploy Dify locally + connect to the local large model Ollama, and the data will not leave the company network during the entire process. It is extremely sensitive (state secrets compliance scenario). If you need to find a manufacturer with state secrets qualifications to customize a solution, none of these three companies is the best solution.